What this category's data looks like
This page addresses multilingual materials and terminology processing materials for the compulsory education dropout prevention and school retention scenario. Sources include three core ledgers: dropout risk ledgers, persuasion-to-return records, and home visit records, as well as the unified terminology lists and comparison drafts derived from them. The update cadence rolls with persuasion-to-return and home visit activities, and field characteristics center on names, school stages, dates, signatures, receipts, and quantities. When the three types of materials enter the vector model and indexing function, their roles differ: dropout risk ledgers provide structured fields and risk levels, persuasion-to-return records provide process text and signed receipts, and home visit records provide multilingual communication content and date chains. The unified terminology lists and comparison drafts are organized by subsequent steps based on recall results; the indexing side is only responsible for making different written forms of the same term recallable and mergeable.
Configuration and implementation checks
This stage is executed by the indexing service and vector database, outputting vectors and index status (whether recall is possible and whether data in the same group is merged). The unified terminology lists and comparison drafts are then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials).
| Object | Check | Verification action |
|---|---|---|
| Dropout risk ledger | Whether fields, dates, and signatures match the persuasion-to-return records and home visit records | Open a data row and check the index fields, confirm that multiple vector identifiers for that row are all present and the status is indexed |
| Persuasion-to-return record | Whether the name, quantity, and date of the same record are consistent in the ledger and home visit materials | Search the same term, see whether data in the same group is merged, and check the coverage of the rebuild task record |
| Home visit record | Whether the version is synchronized and whether signatures or receipts are missing | Sample a data row to inspect the index fields, then search once to see whether the same group is merged |
| Index model | Consistent with the vector model actually used by the knowledge base | Check the index model in the knowledge base settings and view the rebuild task record |
Three common errors
- Symptom: The name, quantity, and date of the same persuasion-to-return record do not match between the ledger and home visit materials. Inspect the following: Multilingual materials have not undergone terminology alignment, and versions are not synchronized.
- Symptom: A data row has content but cannot be retrieved, or duplicate entries appear in retrieval results. Inspect the following: Index fields are missing or data in the same group is not merged.
- Symptom: Recall quality declines after changing models. Inspect the following: The rebuild task record only covers data that has already been indexed; data rows that cannot be rebuilt do not participate in recall and must be indexed first.
How to verify the setup
Acceptance for this feature: Sample a data row to inspect the index fields, confirm that multiple vector identifiers are all present and the status is indexed; then search once to see whether data in the same group is merged and whether the highest score is taken.
Business test: Sample three terms to check whether their written forms are consistent throughout the entire text, and confirm that translated names can refer back to the original text.
- In the knowledge base settings, check that the index model is consistent with the vector model actually used by the knowledge base, and view the data range covered by the rebuild task record.
- Open a data row to check the index fields, confirm the budget records for
limit, and citation text tokens, and record the array count separately.